Concerning Bezoku
A South Florida, USA-based AI start-up called Bezoku collaborates with local communities to create generative AI applications. consumer-focused linguists, mathematicians, machine learning experts, and software engineers make up the Bezoku development team. They provide commercial, no-code consumer interfaces, enabling communities to take charge of generative AI for the first time. The goal of it is to provide a human-level language system that is safe, dependable, and reasonably priced. This method, which is often the result of a personal connection to a place, links groups via a common cultural lexicon.
The Challenge
Come explore Bezoku, the state-of-the-art generative AI that understands social language. The goal of this advanced Natural Language Processing (NLP) system is to link people, not just technology.
Everyone’s access to private and secure language technologies
Bezoku develops generative AI in collaboration with communities. For the first time, communities will be in charge of generative AI thanks to Bezoku‘s team of consumer-focused linguists, mathematicians, machine learning, and software engineers who create commercial no-code user interfaces. It has the following cutting-edge AI capabilities:
- Human-centered design includes safety elements that promote cognitive liberty and shield communities from discrimination based on dialect.
- complete privacy data encryption, offering a first-of-its-kind generative AI system using sophisticated mathematical techniques.
- It gives populations speaking “low resource languages” priority. The library will swiftly expand to include other Hispanic languages, such as Cuban and Honduran, in addition to Haitian Creole. This will enable bilingual speakers to engage in a process known as code switching.
- Compared to rivals with trillion parameters, Bezoku requires 5,300 times less computing per model. Bezoku significantly reduces pollution, thus AI has less of an adverse effect on the planet’s limited resources.
The Solution
Large Language Models (LLMs) are true superpowers in terms of producing accurate and timely replies. but lack the in-depth, domain-specific expertise that, in certain use cases, is crucial. Not to mention the significant computational power and knowledge needed to create and implement them.
This is the situation where Small Language Models (SLMs) are increasingly being used for certain purposes. SLMs have a lower computational footprint and are more efficient than LLMs due to their more concentrated approach. They are thus better suited for local execution on workstations or on-premise servers.
The Resolution
It is a unique kind of artificial intelligence (AI) technology that is centered on people and has many security safeguards to guard against discrimination based on language and cognitive liberty. End-to-end encryption of private data is offering a first-of-its-kind solution for generative AI using sophisticated mathematics in order to do this.
For communities who speak “low resource languages,” it was created. They are beginning with Haitian Creole but will swiftly move on to many other Hispanic dialects and will support a bilingual speaker’s ability to switch between languages known as code switching. The Small Language Model (SML) method used by Bezoku requires 5,300 times less computing power per model than ChatGPT4. As a result, Bezoku emits significantly less pollution and has a much smaller environmental effect.
Bezoku core features are as follows:
Safe Data Handling: Bezoku uses encryption to protect sensitive data, making sure that only authorized users may access it.
Customized linguistic Understanding: To guard against prejudice stemming from dialect bias, the pre-trained models are adapted to various dialects and linguistic styles.
Simple Adaptation: Bezoku‘s training using private data doesn’t need any code. Easy-to-use, user-friendly tools load personal data, and the models automatically pick it up. That is all.
Transparent Predictions: Bezoku builds trust by not just offering solutions but also explaining how it works, for as by letting you know if it is experiencing hallucinations.
Bezuko’s strategy is comprised on four primary differentiators:
- Adding dialects will increase representation and allow for the participation of other populations.
- Affordability at a small fraction of LLM expenses using one’s own models.
- Encrypted security data that is private by design.
- Utilizing 5,000 times less energy and water each model is better for the environment.
“Bezoku is pleased to announce that it has joined the Intel Liftoff Program. Being a member of this exclusive worldwide network of technological companies, the Bezoku team and its partners are eager to use the array of potent AI tools and Developer Cloud to expedite the development of our products.
This partnership not only helps us expand and become more visible, but it also creates special relationships inside the IT industry. They can’t wait to start this adventure, to make use of Intel’s vast resources, to get access to their knowledgeable insights, and to work with other AI-focused firms. Ian Gilmour, Bezoku’s Chief Customer Officer
In summary
Bezoku’s groundbreaking human-centric approach is made possible by its generative AI technology. Smaller AI models as a consequence preserve cognitive liberty, eliminate dialect bias, and provide understandable supporting output by tracking data and alerting users if hallucinations are suspected.
As a result, groups with “low resource languages” end up receiving priority. This includes Hispanic dialects and Haitian Creole, among other things, since they will support bilingual speakers’ language
